ENLIVE：一种高效的无标定鲁棒并行成像非线性方法
ENLIVE: An Efficient Nonlinear Method for Calibrationless and Robust Parallel Imaging
摘要：
抗数据不一致性、成像伪影和采集速度的鲁棒性是限制磁共振成像（MRI）可能应用范围的关键因素。因此，我们报告了一种新的无校准并行成像技术，同时估计线圈配置文件和图像内容在一个宽松的前向模型。我们的方法是强大的对广泛的数据不一致，最大限度地减少成像伪影，是快速结合许多概念上不同的国家的最先进的并行成像方法的重要优势。根据实验设置，数据的欠采样可能远低于奈奎斯特限值。在这里，即使是高加速因子也能产生出色的成像结果，同时对图像域中的噪声和相位奇异性的发生具有鲁棒性，正如我们在不同数据上所示的那样。此外，我们的方法成功地重建收购不足的视野。我们进一步比较我们的方法ESPIRiT和SAKE使用自旋回波和梯度回波MRI数据从人类头部和膝盖。此外，我们显示了其适用于径向FLASH心脏MRI数据的非笛卡尔成像。使用理论上的考虑，我们表明，ENLIVE可以与低秩制定盲多通道反卷积，解释为什么它固有地促进低秩的解决方案。
英文摘要：
Robustness against data inconsistencies, imaging artifacts and acquisition speed are crucial factors limiting the possible range of applications for magnetic resonance imaging (MRI). Therefore, we report a novel calibrationless parallel imaging technique which simultaneously estimates coil profiles and image content in a relaxed forward model. Our method is robust against a wide class of data inconsistencies, minimizes imaging artifacts and is comparably fast combining important advantages of many conceptually different state-of-the-art parallel imaging approaches. Depending on the experimental setting, data can be undersampled well below the Nyquist limit. Here, even high acceleration factors yield excellent imaging results while being robust to noise and the occurrence of phase singularities in the image domain, as we show on different data. Moreover, our method successfully reconstructs acquisitions with insufficient field-of-view. We further compare our approach to ESPIRiT and SAKE using spin-echo and gradient echo MRI data from the human head and knee. In addition, we show its applicability to non-Cartesian imaging on radial FLASH cardiac MRI data. Using theoretical considerations, we show that ENLIVE can be related to a low-rank formulation of blind multi-channel deconvolution, explaining why it inherently promotes low-rank solutions.
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